01
For SOC analysts
Triage in seconds, not hours.
Scored alerts arrive pre-prioritized. Skip the noise; act on the records that actually matter. Severity, recency, and impact baked in before the alert ever fires.
HEROIC Technology
Cyberlytics
The intelligence engine that turns billions of raw breach records into actionable threat signal. It scores severity, deduplicates noise, and tells you exactly who to alert and what to do next.
10M+Severity scores / day
4B+Unique records post-dedupe
91%Noise reduction
24/7Continuous AI scoring
Stage 01
Scan every record.
Our AI engine reads every breach record the moment it lands.
Cyberlytics scans every record DarkHive ingests, extracts identifiers, classifies entity types, and tags the affected accounts before anyone on your team has to read a single row. Built for scale: tens of millions of records per day, sub-second per record.
- Custom AI engine trained on breach data structures
- Entity extraction — emails, domains, users, IPs, hashes
- Affected-employee identification on enterprise records
Stage 02
Score every threat.
Severity, impact, and recency calculated per record.
Every record gets a numeric severity score informed by data type, source, freshness, and impact surface. The same model identifies which employees need credentials rotated, which accounts need a freeze, and which exposures merit no action at all.
- Multi-factor severity model — type, source, recency, impact
- Affected-account remediation actions per record
- Confidence rating attached to every scoring decision
Stage 03
Deduplicate at the record level.
Hash matching across every source collapses repeats into a single canonical record.
The same credential surfaces in dozens of breach dumps, combo lists, and stealer logs. Cyberlytics hashes every record and merges duplicates into one canonical row with full source lineage, so your team isn't paged six times for the same exposure.
- Multi-field hash matching across all sources
- Canonical record per unique exposure, with source list preserved
- First-seen and last-seen timestamps maintained
Stage 04
Denoise and surface signal.
Filter the false positives. Surface the records that actually matter.
Not every record is a threat. Cyberlytics filters out test data, internal honeypots, decoy entries, and recycled credentials with known low impact — then routes the verified exposures into the right product, dashboard, or alert queue for action.
- False-positive filtering against known noise patterns
- Per-record routing to product surface or alert channel
- Threat clustering across related records into single incidents
By the numbers
The math behind a clean signal.
Cyberlytics processes breach data at unprecedented scale and surfaces only what matters.
16B+
Raw records in
Pulled from DarkHive across hundreds of sources
1.4B
Unique exposures
After hash-matched deduplication
8M
Actionable signals / day
Scored, routed, ready for your team
What we extract
Signal across every dimension.
Cyberlytics doesn't just count records. It pulls structured intelligence out of every row, ready to act on.
Built for the team
One engine. Every role.
Cyberlytics output shapes itself to the team consuming it. Same data, three different surfaces.
02
For IR responders
Walk into every incident with full context.
Per-record remediation actions, source lineage, first-seen timestamps, and affected-account lists — the playbook is already written when the alert reaches you.
03
For CISO & leadership
Report on exposure with confidence.
Roll scored exposure up across the org. Track noise reduction, response times, and exposure trends quarter over quarter. Numbers your board will recognize.
What you can do
Built for security teams.
Cyberlytics output is structured for your SOC, your SIEM, your IR runbooks, and your dashboards. Pull it where you need it.
- Prioritize — Sort exposures by severity, recency, and impact in milliseconds.
- Route — Auto-assign alerts to the right team, dashboard, or product surface.
- Remediate — Built-in recommended actions per record. Reset, freeze, rotate.
- Export & API — Stream scored output into your SIEM, SOAR, or analyst console.
FAQ
Common questions.
DarkHive is the data engine. It collects, cleans, and indexes raw breach data from the open, deep, and dark web. Cyberlytics is the intelligence engine that sits on top of DarkHive — it reads every record, scores severity, deduplicates, denoises, and produces actionable output. DarkHive answers "what's out there." Cyberlytics answers "what matters and what do I do."
Each record is scored on a 0-100 scale informed by data type (a plaintext password ranks higher than a hashed one), source quality, recency, and the impact surface for the affected account (consumer vs. enterprise vs. admin). The model is trained on years of HEROIC remediation outcomes and retrained continuously as new breach patterns emerge.
Cyberlytics uses multi-field hash matching that's tuned to collapse genuine duplicates without merging distinct exposures. Source lineage is preserved on every canonical record, so analysts can still see all the places a credential appeared. First-seen and last-seen timestamps are maintained for incident timelines.
Test accounts, internal honeypots, known-bad decoy entries, recycled credentials with documented low impact, malformed records, and records the model identifies as fabricated. The denoise stage typically removes 80-90% of raw input volume while preserving the records that actually represent live, actionable threats.
Yes. Enterprise customers can adjust severity weighting per data type, set custom routing rules, define their own watchlists, and override scoring decisions per asset class. The Cyberlytics API exposes every signal so you can build custom workflows on top of it.
DarkWatch surfaces scored records to enterprise SOC teams. Guardian uses the same scoring to prioritize consumer alerts. The HEROIC API exposes the full Cyberlytics output for integration into customer SIEMs, SOAR platforms, and custom workflows. Every product sees the same canonical, scored data.
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